Literature DB >> 24174906

The brain's default network: origins and implications for the study of psychosis.

Randy L Buckner1.   

Abstract

The brain's default network is a set of regions that is spontaneously active during passive moments. The network is also active during directed tasks that require participants to remember past events or imagine upcoming events. One hypothesis is that the network facilitates construction of mental models (simulations) that can be used adaptively in many contexts. Extensive research has considered whether disruption of the default network may contribute to disease. While an intriguing possibility, a specific challenge to this notion is the fact that it is difficult to accurately measure the default network in patients where confounds of head motion and compliance are prominent. Nonetheless, some intriguing recent findings suggest that dysfunctional interactions between front-oparietal control systems and the default network contribute to psychosis. Psychosis may be a network disturbance that manifests as disordered thought partly because it disrupts the fragile balance between the default network and competing brain systems.

Entities:  

Keywords:  default mode network; functional MRI; prospection; resting-state

Mesh:

Year:  2013        PMID: 24174906      PMCID: PMC3811106     

Source DB:  PubMed          Journal:  Dialogues Clin Neurosci        ISSN: 1294-8322            Impact factor:   5.986


Introduction

Considerable recent attention has been given to the brain's default network.[1-5] The default network, illustrated in , is a set of brain regions that are active in resting subjects compared with when they perform engaging externally oriented tasks.[6,7] The term “default” arose from the discovery of the network's heightened activity during idle periods, implying that people's brains default to using the network when an externally directed task is not provided. The term, however, is a misnomer. The default network is also active during directed tasks, such as remembering one's past or thinking about what might happen in the future.[8-10] By examining regions that are active in the passive individual, we may have stumbled upon the core network responsible for internal modes of cognition. One working hypothesis is that the default network's primary function is to support internal mental simulations that are used adaptively.[3,5] From this perspective, the network can be engaged in a directed manner, such as recalling the location of a parked car, and also when the mind wanders from the immediate task at hand. The purpose of this article is to discuss how the concept of the default network has evolved since its discovery and how research on the default network might elucidate neuropsychiatry and neurological disease. A historical orientation is included, because a current snapshot of the literature on the topic reveals a complex collection of observations and loosely tied ideas. One would hope that, by starting from the beginning, the central issues will become clearer to the student or clinician interested in the topic. As such, this piece is not a comprehensive review, so it is recommended that readers explore several related reviews for a more thorough analysis.[3-5] For those interested in a detailed historical account see refs 11 and 12[11,12]. The present piece will be especially useful to readers interested in a broad understanding of how the concept of the default network arose and how its discovery relates to contemporary research emphases.

Origins of discovery and implications

The default network was discovered serendipitously when investigators began noticing that specific, reproducible brain regions were more active during passive control tasks than during active tasks targeted by the experimenters.[6,7] In many instances, responses in the passive (control) tasks were not reported, or were reported with minimal discussion. In one of our first studies of memory we noticed that a broad network of regions was active in the passive control task, during which participants simply fixated a crosshair. However the network was paradoxically less active in the targeted task, in which participants generated words.[13] In an insightful anticipation of later work on the default network, Andreasen et al observed that passive tasks showed activation in regions that were also active when individuals recalled information from episodic memory.[8] In an intentionally ironic twist, they labeled the passive “rest” condition “Random Episodic Silent Thinking” and suggested that “free-ranging mental activity (random episodic memory) produces large activations in association cortex and may reflect both active retrieval of past experiences and planning of future experiences.” They further argued that the regions involved were specifically regions of association cortex that “are more highly developed (ie, comprise a larger portion of the brain volume) in human beings than in nonhuman primates or other animals, have the most complex columnar cortical organization, and are the last to myelinate. Apparently, when the brain/mind thinks in a free and unencumbered fashion, it uses its most human and complex parts” (p1583). The manner in which the default network was initially identified has had a lasting impact on how we think about its function and discuss the phenomena associated with the network. In typical task settings, the default network is most active in passive control tasks where the experimenter's demands required are minimized. The observation that the default network is active in passive tasks has led to a split in ideas about its functions. In one class of ideas, the network is seen as playing a role in the exploratory, unfocussed state that takes place during passive tasks. Passive task states differ from active task states in that they do not require attention to specific behaviorally relevant features of the external environment. This has led some to suggest that regions involved in the default network are actually suppressed by the active task. In other words, the appearance of increased activity in the passive task is really better conceived as a suppression of activity by the active task. In a thoughtful description of one such form of hypothesized suppression, Corbetta and colleagues[14] proposed that “deactivation” of certain regions overlapping the default network may be party caused by high tonic activity associated with the locus coeruleus/noradrenergic system. The locus coeruleus is a small midbrain nucleus that modulates cortical and subcortical brain activity through diffuse excitatory monoaminergic (norepinephrine) projections. During task-focused states, a decrease in tonic activity of the locus coeruleus to moderate levels, combined with an increase in task-locked transient activity, may promote optimal engagement in the immediate task.[15] During passive task states, the system is characterized by a high tonic baseline. Deactivation of certain regions within the default network may be linked to activity modulation of the locus coeruleus as a mechanism of modulating the locus of attention. It has been difficult to rule out the possibility that certain networks are actively suppressed by focused, attentionally demanding tasks and further that such suppression is the central cause of the observation of a “default network.” Adding a further complexity, studies of the monkey using intrinsic optical imaging of visual cortex suggest that anticipatory arousal can modulate blood flow (the basis of positron emission tomography, [PET], and functional MRI [fMRI] measures) via neuronal mechanisms that are distinct from the transient activity modulations, which are the target of task-based neuroimaging studies.[16] While it is unclear how such a physiological observation relates to the default network observed in the human imaging studies, the observation of a sustained anticipatory signal raises the possibility of a class of attentional effects that are insufficiently understood and that may be the source of the default network's activity pattern during passive task states. Nonetheless, there is a favorably-alternative hypothesis that extends the ideas of Andreasen and colleagues.[8]

Internal mentation

During passive moments, when demands to engage the external environment are relaxed, the mind wanders.[17,18] Self-report data from neuroimaging tasks that activate the default network reveal that mind wandering and spontaneous thoughts occur frequently.[8,19,20] When probed, the participants report that they are often thinking about future plans or about recent personal events. Rarely do they report attending to stimuli in the environment. Imagined events tend to be practical and free of fantasy-like qualities. For example, during passive fixation one individual noted thinking about “events that happened during the weekend [and] what's for dinner,” whereas another reported, “Well, I am moving in two days, so I find myself writing mental “to do” lists and lists of things I had still to pack, and also just imagining life in a new apartment, new city, etc.”[20] Killingsworth and Gilbert[21] assessed the frequency of spontaneous mental thoughts in everyday life by using cell phones to probe participants at random times. They found that people's minds wander frequently, and do so during almost all activities. Spontaneous thoughts associated with mind wandering are pervasive in the laboratory and outside in the real world. These observations lead to an interesting class of ideas: the brain's default network may be the collection of brain regions that, on average across people and over time, are most active during internal modes of cognition. The network of regions implicated in the default network are functionally[22-24] and anatomically (see ref 4) linked to limbic structures including the parahippocampal cortex, suggesting a circuit that has access to mnemonic information. Within this possibility, the default network is proposed to support the construction of internal mental models based on mnemonic (limbic) systems. This simple idea may explain the common observation of increased activity in the default network during passive tasks when the mind is released to wander, as well as during active cognitive tasks when subjects are instructed to remember the past or mentally plan for a hypothetical future event ([9,10,25] Thus, the serendipitous discovery of the default network during passive tasks and the origins of its name as the ”default“ network only partly captures its broad functions, which may extend to a range of internal modes of cognition. An interesting recent twist to the hypothesis that the default network supports certain forms of internally generated thought has proposed a relation to the locus coeruleus/noradrenergic system. As mentioned earlier, passive task states are associated with high tonic levels of locus ceoruleus activity. By contrast, focused tasks are associated with moderate tonic levels of locus ceoruleus activity with phasic responses time-locked to components of the task trials. Using measures of pupil diameter, which indirectly reflect locus ceoruleus activity when light responses are controlled, Smallwood and colleagues[26] inferred that spontaneous thoughts arise most frequently during high tonic levels of locus ceoruleus activity. This is an interesting observation for two separate reasons. First, the observation suggests that spontaneous thoughts occur in an attentional state that is distinct from the modulatory pattern prominent during externally focused tasks (moderate tonic activity with task-locked transients). Second, the spontaneous thoughts occur during an aroused state. Low tonic locus ceoruleus activity characterizes drowsy, inattentive states.[15] Smallwood et al's results suggest that spontaneous thoughts are linked to high tonic levels of activity.[26] A speculative possibility is that default network activity could be an aroused state where cortical activity is not tuned to a specific set of temporally discrete task epochs but rather to internally generated cognitive operations that frequently occur, and are largely untethered to external perceptual events. While this state was discovered in passive task epochs, its role in internally directed modes of cognition is much broader.

Implications for study of disease

The default network is an interesting target for clinical exploration.[3,27-29] Many psychiatric disorders are hallmarked by disturbances to internal modes of thought or impairment in remembering. Both sets of functions are associated with the default network. The link to these functions and the ease of making measurements of the default network have led to numerous reports of default network disruption across a wide range of conditions including schizophrenia, bipolar disorder, Alzheimer's disease, depression, autism, and others. At first glance disruption of the default network seems to be a nonspecific correlate of brain dysfunction. Alternatively, measurement of the default network may be confounded in ways that create an appearance of disturbance. Many reported results about default network dysfunction in the literature may be due to confounding factors. For example, motion and respiratory artifacts have been demonstrated to alter functional connectivity measures of the default network.[30-32] Patients often move their heads more than controls in brain imaging studies, and also may display differences in breathing patterns, eye movements, and swallowing that can affect data quality. A concern is that many of the patient findings reported in the literature are artifacts.[33,34] We will need to undertake a process of sorting out what is artifact and what is insight. Nonetheless, studies paying careful attention to potential confounding influences have made observations that suggest a central role of the default network in mental illness. The study of psychosis offers an intriguing clinical example of default network dysfunction. Among other symptoms, active psychosis is associated with disorganized thought patterns. A recent study from Whitfield-Gabrieli and colleagues[35] found that patients with schizophrenia display a hyperactive default network and aberrant connectivity of the default network. Combined with other results,[29,36] they suggested that default network dysfunction may be associated with the positive symptoms of schizophrenia. The idea stems from the default network's hypothesized contributions to internal modes of cognition. They noted that “constant overengagement of the default network could lead to an exaggerated focus on one's own thoughts and feelings as well as an ambiguous integration between one's own thoughts and feelings with events in the environment.”[35] Schizophrenia has long been linked to disruption of frontally mediated control systems.[37-40] How might the observation of control system disruption and disturbance of the default network be linked? One possibility is that control systems integrate the functions of the default network, which is primarily concerned with internal modes of cognition, with competing information supplied by networks linked to external attention. The frontoparietal control network,[41,42] illustrated in , is anatomically juxtaposed between the default network and networks that contribute to external attention. Dysfunction in psychosis may impact control networks and disrupt coordination between the default network and networks important to processing perceptual information from the external world. In a recent study we directly explored the possibility that control system dysfunction may be linked to default network abnormalities by examining interactions between the frontoparietal control network and the default network[43] (Figure 3). Using functional connectivity, 100 healthy control participants were compared with 100 psychotic patients (with schizophrenia, schizoaffective disorder, or bipolar disorder with psychosis). We discovered that functional connectivity between networks is different in the patients such that the networks possess less modular organization. The frontoparietal network, in particular a subnetwork of the frontoparietal network linked to the highest orders of executive control, showed altered coupling to other networks. Suggesting that the differences were a correlate of illness, the patterns linked to psychosis could not be mimicked in control participants, even when the data were degraded by head motion, although it is not possible to fully rule out more subtle confounds. Others have also recently observed network-wide differences in psychosis with some features shared between schizophrenia and bipolar disorder and other features unique to schizophrenia.[44,45] In a particularly thorough study of a large sample of patients with schizophrenia, altered functional connectivity was found for both the frontoparietal control network and default network.[44] It is difficult to decisively interpret these collective results, but it is intriguing that normal network interactions break down in psychotic patients in a manner that might blur the boundary between imagination and reality.[3,35] Psychosis may be a network disturbance[46] that manifests as disordered thought partly because it disrupts the fragile balance between processing systems that operate on external and internal channels of information.

Conclusions

The brain's default network is a set of regions more active during passive tasks than tasks demanding focused external attention. One hypothesis is that the default network contributes to internal modes of cognition used when remembering, thinking about the future, and mind wandering. An open question is whether dysfunction of the default network contributes to neurological and psychiatric illness. A specific challenge is that it is difficult to accurately measure the default network in patients where confounds of head motion and compliance are prominent. Several observations suggest that disruption in executive control processes may impact the function of the default network and contribute to disturbances of thought.
  46 in total

Review 1.  An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance.

Authors:  Gary Aston-Jones; Jonathan D Cohen
Journal:  Annu Rev Neurosci       Date:  2005       Impact factor: 12.449

2.  Conceptual processing during the conscious resting state. A functional MRI study.

Authors:  J R Binder; J A Frost; T A Hammeke; P S Bellgowan; S M Rao; R W Cox
Journal:  J Cogn Neurosci       Date:  1999-01       Impact factor: 3.225

3.  Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth.

Authors:  Theodore D Satterthwaite; Daniel H Wolf; James Loughead; Kosha Ruparel; Mark A Elliott; Hakon Hakonarson; Ruben C Gur; Raquel E Gur
Journal:  Neuroimage       Date:  2012-01-02       Impact factor: 6.556

Review 4.  Task-induced deactivation and the "resting" state.

Authors:  Jeffrey R Binder
Journal:  Neuroimage       Date:  2011-09-25       Impact factor: 6.556

5.  Aberrant "default mode" functional connectivity in schizophrenia.

Authors:  Abigail G Garrity; Godfrey D Pearlson; Kristen McKiernan; Dan Lloyd; Kent A Kiehl; Vince D Calhoun
Journal:  Am J Psychiatry       Date:  2007-03       Impact factor: 18.112

Review 6.  Searching for a baseline: functional imaging and the resting human brain.

Authors:  D A Gusnard; M E Raichle; M E Raichle
Journal:  Nat Rev Neurosci       Date:  2001-10       Impact factor: 34.870

7.  Intrinsic architecture underlying the relations among the default, dorsal attention, and frontoparietal control networks of the human brain.

Authors:  R Nathan Spreng; Jorge Sepulcre; Gary R Turner; W Dale Stevens; Daniel L Schacter
Journal:  J Cogn Neurosci       Date:  2012-08-20       Impact factor: 3.225

8.  Disruption of cortical association networks in schizophrenia and psychotic bipolar disorder.

Authors:  Justin T Baker; Avram J Holmes; Grace A Masters; B T Thomas Yeo; Fenna Krienen; Randy L Buckner; Dost Öngür
Journal:  JAMA Psychiatry       Date:  2014-02       Impact factor: 21.596

9.  Physiological dysfunction of dorsolateral prefrontal cortex in schizophrenia. III. A new cohort and evidence for a monoaminergic mechanism.

Authors:  D R Weinberger; K F Berman; B P Illowsky
Journal:  Arch Gen Psychiatry       Date:  1988-07

10.  Is aberrant functional connectivity a psychosis endophenotype? A resting state functional magnetic resonance imaging study.

Authors:  Sabin Khadka; Shashwath A Meda; Michael C Stevens; David C Glahn; Vince D Calhoun; John A Sweeney; Carol A Tamminga; Matcheri S Keshavan; Kasey O'Neil; David Schretlen; Godfrey D Pearlson
Journal:  Biol Psychiatry       Date:  2013-06-05       Impact factor: 13.382

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Authors:  Roma A Vasa; Stewart H Mostofsky; Joshua B Ewen
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2.  Finding the self by losing the self: Neural correlates of ego-dissolution under psilocybin.

Authors:  Alexander V Lebedev; Martin Lövdén; Gidon Rosenthal; Amanda Feilding; David J Nutt; Robin L Carhart-Harris
Journal:  Hum Brain Mapp       Date:  2015-05-22       Impact factor: 5.038

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Authors:  Jessica R Andrews-Hanna; Jonathan Smallwood; R Nathan Spreng
Journal:  Ann N Y Acad Sci       Date:  2014-02-06       Impact factor: 5.691

4.  Alterations in intrinsic fronto-thalamo-parietal connectivity are associated with cognitive control deficits in psychotic disorders.

Authors:  Rebekka Lencer; Li Yao; James L Reilly; Sarah K Keedy; Jennifer E McDowell; Matcheri S Keshavan; Godfrey D Pearlson; Carol A Tamminga; Elliot S Gershon; Brett A Clementz; Su Lui; John A Sweeney
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5.  A Review of Anticipatory Pleasure in Schizophrenia.

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Journal:  Curr Behav Neurosci Rep       Date:  2016-06-30

Review 6.  Applications of Resting State Functional MR Imaging to Neuropsychiatric Diseases.

Authors:  Godfrey David Pearlson
Journal:  Neuroimaging Clin N Am       Date:  2017-08-16       Impact factor: 2.264

7.  Radiation-induced brain structural and functional abnormalities in presymptomatic phase and outcome prediction.

Authors:  Zhongxiang Ding; Han Zhang; Xiao-Fei Lv; Fei Xie; Lizhi Liu; Shijun Qiu; Li Li; Dinggang Shen
Journal:  Hum Brain Mapp       Date:  2017-10-23       Impact factor: 5.038

8.  Brain network connectivity-behavioral relationships exhibit trait-like properties: Evidence from hippocampal connectivity and memory.

Authors:  Alexandra Touroutoglou; Joseph M Andreano; Lisa Feldman Barrett; Bradford C Dickerson
Journal:  Hippocampus       Date:  2015-07-14       Impact factor: 3.899

9.  Heterogeneity of Outcomes and Network Connectivity in Early-Stage Psychosis: A Longitudinal Study.

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Journal:  Schizophr Bull       Date:  2021-01-23       Impact factor: 9.306

10.  Resting state connectivity dynamics in individuals at risk for psychosis.

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Journal:  J Abnorm Psychol       Date:  2018-04
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